Abstract
The presence of direct current (dc) biased magnetic field enhances the vibration and noise in the transformer cores due to magnetostrictive effect in the grain-oriented electrical steel laminations. Based on an Epstein frame, an experimental setup was built to measure the in-plane magnetostriction, the principal magnetostriction was computed under a dc bias, and the influence of dc bias magnetic field on the magnetostrictive property of electrical steel sheet was investigated. A model based on a back propagation neural network (BPNN) method assisted with the Levenberg–Marquardt algorithm was proposed to describe the magnetostrictive behaviour in the presence of dc bias. Finally, the BPNN model was verified by comparing the measured magnetostriction and the computed one. This research is helpful to make an accurate estimation to deformation of iron core under a dc bias.
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